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Simulation Method of Target Track Based on Embedded Particle Swarm Optimization Algorithm
Yanyan MA, Qiang LIN, Chuang NIU, Haida YANG
Modern Defense Technology    2024, 52 (5): 51-60.   DOI: 10.3969/j.issn.1009-086x.2024.05.007
Abstract992)   HTML52)    PDF (2388KB)(218)       Save

A target track simulation method based on embedded PSO is proposed to address the fidelity and universal applicability issues of radar-moving target track simulation. Firstly, the principle of simulation moving target track by UAV is analyzed, the motion model and coupling relationship between the UAV and the simulated target is discussed and the control quantity and control equation are determined. Then, based on constraint conditions of target motion track simulation, the objective optimization fitness function is proposed by UAV performance and energy consumption, and the optimal control model of target track simulation is established. Finally, in order to improve the accuracy and practicality of the model solution, the particle swarm optimization algorithm is improved and embedded in the model solution, achieving effective simulation of different motion tracks of the target. The simulation results indicate that this method can have wide applicability for simulating the track of moving targets.

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